Aletheia - Hindi Fake News Detection System

A web application for detecting fake news in Hindi using NLP techniques.

Aletheia - Hindi Fake News Detection System

🔍 GitHub Repository: Aletheia on GitHub

Project Overview

  • Developed a Hindi Fake News Detection System using Natural Language Processing (NLP) techniques.
  • Collected and processed a dataset of 15,000+ Hindi news articles, extracting key linguistic features.
  • Implemented TF-IDF, Word2Vec, and deep learning models to classify news articles as real or fake.
  • Trained multiple machine learning models including Logistic Regression, Decision Trees, and Gradient Boosting.
  • Built a Flask-based web application for users to input news articles and receive real-time fake news detection results.

🔹 Key Features

  • Real-Time Fake News Detection: Users can enter Hindi news text and receive immediate classification results.
  • Machine Learning-Based Classification: Utilizes TF-IDF and Word2Vec for feature extraction, with Logistic Regression and Deep Learning models for classification.
  • Interactive Web Interface: Developed using Flask and React.js, providing a smooth user experience.
  • Dataset & Model Interpretability: Detailed analysis of model decisions and dataset biases.

🚀 How to Use

  1. Clone the GitHub repository: ```sh git clone https://github.com/BSAkash/Fake-News-Detection-for-Hindi.git